既然trade.current_profit()总是返回0,那么依赖它的所有逻辑都是不可信的。让我将这些逻辑全部移除,不再依赖这个值
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@ -1553,7 +1553,7 @@ class FreqaiPrimer(IStrategy):
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def confirm_trade_exit(self, pair: str, trade: Trade, order_type: str, amount: float,
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rate: float, time_in_force: str, exit_reason: str,
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current_time: datetime, current_profit: float, **kwargs) -> bool:
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current_time: datetime, **kwargs) -> bool:
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"""
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智能出场确认:结合ML预测信号来决定是否出场
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"""
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@ -1591,11 +1591,11 @@ class FreqaiPrimer(IStrategy):
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if '&-target_trend' in df.columns:
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trend_prediction = float(last_row['&-target_trend'])
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# 基于ML预测的智能决策
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# 基于ML预测的智能决策(移除了对不可靠的current_profit的依赖)
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if current_entry_prob is not None and predicted_volatility is not None:
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# 如果当前入场信号概率很高,说明市场条件仍然良好,可以继续持有
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if current_entry_prob > 0.6 and current_profit < 0.05:
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# 高入场概率 + 低利润,建议继续持有(除非已有相当利润)
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if current_entry_prob > 0.6:
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# 高入场概率,建议继续持有
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self.strategy_log(f"[{pair}] 当前入场信号概率高({current_entry_prob:.2f}),建议继续持有")
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return False # 阻止出场
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